| User | pcbrom |
| Upload Date | December 21 2025 02:16 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X3D 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E66 |
| Motherboard | Micro-Star International Co., Ltd. B850M GAMING PLUS WIFI (MS-7E66) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.58 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.38 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7084
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7101
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
18233
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9022
146.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8958
145.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25895
419.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23202
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23268
27.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
93168
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
7829
621.0 IPS |
|
|
Object Detection (HP)
|
100% |
7900
626.6 IPS |
|
|
Object Detection (Q)
|
88% |
19923
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
19804
235.3 IPS |
|
|
Face Detection (HP)
|
100% |
20018
237.9 IPS |
|
|
Face Detection (Q)
|
100% |
56739
674.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21677
167.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21650
166.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
61524
478.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57947
74.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57891
74.4 IPS |
|
|
Style Transfer (Q)
|
98% |
220956
284.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11719
432.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11762
434.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35435
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4881
6.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6634
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
8588
147.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8585
147.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10469
180.3 IPS |